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Entity-Oriented Search

Author : Krisztian Balog
Publisher : Springer
ISBN 13 : 3319939351
Total Pages : 358 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Entity-Oriented Search by : Krisztian Balog

Download or read book Entity-Oriented Search written by Krisztian Balog and published by Springer. This book was released on 2018-10-02 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers all facets of entity-oriented search—where “search” can be interpreted in the broadest sense of information access—from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book. The book is divided into three main parts, sandwiched between introductory and concluding chapters. The first two chapters introduce readers to the basic concepts, provide an overview of entity-oriented search tasks, and present the various types and sources of data that will be used throughout the book. Part I deals with the core task of entity ranking: given a textual query, possibly enriched with additional elements or structural hints, return a ranked list of entities. This core task is examined in a number of different variants, using both structured and unstructured data collections, and numerous query formulations. In turn, Part II is devoted to the role of entities in bridging unstructured and structured data. Part III explores how entities can enable search engines to understand the concepts, meaning, and intent behind the query that the user enters into the search box, and how they can provide rich and focused responses (as opposed to merely a list of documents)—a process known as semantic search. The final chapter concludes the book by discussing the limitations of current approaches, and suggesting directions for future research. Researchers and graduate students are the primary target audience of this book. A general background in information retrieval is sufficient to follow the material, including an understanding of basic probability and statistics concepts as well as a basic knowledge of machine learning concepts and supervised learning algorithms.

Text Analytics for Corpus Linguistics and Digital Humanities

Author : Gerold Schneider
Publisher : Bloomsbury Publishing
ISBN 13 : 1350370843
Total Pages : 241 pages
Book Rating : 4.3/5 (53 download)

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Book Synopsis Text Analytics for Corpus Linguistics and Digital Humanities by : Gerold Schneider

Download or read book Text Analytics for Corpus Linguistics and Digital Humanities written by Gerold Schneider and published by Bloomsbury Publishing. This book was released on 2024-05-02 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself? This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introduced can be used across texts of all disciplines, from history or literature to party manifestos and patient reports.

Data Science for Economics and Finance

Author : Sergio Consoli
Publisher : Springer Nature
ISBN 13 : 3030668916
Total Pages : 357 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Science for Economics and Finance by : Sergio Consoli

Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

WSDM'15

Author : Xueqi Cheng
Publisher :
ISBN 13 : 9781450333177
Total Pages : 466 pages
Book Rating : 4.3/5 (331 download)

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Book Synopsis WSDM'15 by : Xueqi Cheng

Download or read book WSDM'15 written by Xueqi Cheng and published by . This book was released on 2015 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Dynamic Provisioning for Community Services

Author : Li Qi
Publisher : Springer Science & Business Media
ISBN 13 : 3642345131
Total Pages : 185 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Dynamic Provisioning for Community Services by : Li Qi

Download or read book Dynamic Provisioning for Community Services written by Li Qi and published by Springer Science & Business Media. This book was released on 2013-08-17 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Provisioning for Community Services outlines a dynamic provisioning and maintenance mechanism in a running distributed system, e.g. the grid, which can be used to maximize the utilization of computing resources and user demands. The book includes a complete and reliable maintenance system solution for the large-scale distributed system and an interoperation mechanism for the grid middleware deployed in the United States, Europe, and China. The experiments and evaluations have all been practically implemented for ChinaGrid, and the best practices established can help readers to construct reliable distributed systems. This book is intended for researchers, developers, and graduate students in the fields of grid computing, service-oriented architecture and dynamic maintenance for large distributed systems. Li Qi is an Associate Professor and the Deputy Director of the R&D Center for the Internet of Things at the Third Research Institute of Ministry of Public Security (TRIMPS), China. Hai Jin is a Professor and the Director of Department of Computer Science, Huazhong University of Science and Technology, China.

Machine Learning and Knowledge Discovery in Databases

Author : Albert Bifet
Publisher : Springer
ISBN 13 : 3319234617
Total Pages : 365 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Albert Bifet

Download or read book Machine Learning and Knowledge Discovery in Databases written by Albert Bifet and published by Springer. This book was released on 2015-08-28 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.

Trustworthy Online Controlled Experiments

Author : Ron Kohavi
Publisher :
ISBN 13 : 1108601375
Total Pages : 292 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Trustworthy Online Controlled Experiments by : Ron Kohavi

Download or read book Trustworthy Online Controlled Experiments written by Ron Kohavi and published by . This book was released on 2020-02-14 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical guide for students, researchers and practitioners offers real world guidance for data-driven decision making and innovation.

Linguistics across Disciplinary Borders

Author : Steven Coats
Publisher : Bloomsbury Publishing
ISBN 13 : 135036228X
Total Pages : 265 pages
Book Rating : 4.3/5 (53 download)

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Book Synopsis Linguistics across Disciplinary Borders by : Steven Coats

Download or read book Linguistics across Disciplinary Borders written by Steven Coats and published by Bloomsbury Publishing. This book was released on 2024-01-11 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume highlights the ways in which recent developments in corpus linguistics and natural language processing can engage with topics across language studies, humanities and social science disciplines. New approaches have emerged in recent years that blur disciplinary boundaries, facilitated by factors such as the application of computational methods, access to large data sets, and the sharing of code, as well as continual advances in technologies related to data storage, retrieval, and processing. The “march of data” denotes an area at the border region of linguistics, humanities, and social science disciplines, but also the inevitable development of the underlying technologies that drive analysis in these subject areas. Organized into 3 sections, the chapters are connected by the underlying thread of linguistic corpora: how they can be created, how they can shed light on varieties or registers, and how their metadata can be utilized to better understand the internal structure of similar resources. While some chapters in the volume make use of well-established existing corpora, others analyze data from platforms such as YouTube, Twitter or Reddit. The volume provides insight into the diversity of methods, approaches, and corpora that inform our understanding of the “border regions” between the realms of data science, language/linguistics, and social or cultural studies.

Recent Challenges in Intelligent Information and Database Systems

Author : Ngoc Thanh Nguyen
Publisher : Springer Nature
ISBN 13 : 3031424301
Total Pages : 638 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Recent Challenges in Intelligent Information and Database Systems by : Ngoc Thanh Nguyen

Download or read book Recent Challenges in Intelligent Information and Database Systems written by Ngoc Thanh Nguyen and published by Springer Nature. This book was released on 2023-09-28 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the second part of the proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 24–26, 2023. The 50 full papers included in this book were carefully reviewed and selected from 224 submissions. They were organized in topical sections as follows: Computer Vision, Cybersecurity and Fraud Detection, Data Analysis, Modeling, and Processing, Data Mining and Machine Learning, Forecasting and Optimization Techniques, Healthcare and Medical Applications, Speech and Text Processing.

The Oxford Handbook of Computational Linguistics

Author : Ruslan Mitkov
Publisher : Oxford University Press
ISBN 13 : 0191625531
Total Pages : 1312 pages
Book Rating : 4.1/5 (916 download)

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Book Synopsis The Oxford Handbook of Computational Linguistics by : Ruslan Mitkov

Download or read book The Oxford Handbook of Computational Linguistics written by Ruslan Mitkov and published by Oxford University Press. This book was released on 2022-05-23 with total page 1312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.

Machine Learning for Algorithmic Trading

Author : Stefan Jansen
Publisher : Packt Publishing Ltd
ISBN 13 : 1839216786
Total Pages : 822 pages
Book Rating : 4.8/5 (392 download)

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Book Synopsis Machine Learning for Algorithmic Trading by : Stefan Jansen

Download or read book Machine Learning for Algorithmic Trading written by Stefan Jansen and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.

Machine Learning and Knowledge Discovery in Databases. Research Track

Author : Nuria Oliver
Publisher : Springer Nature
ISBN 13 : 3030864863
Total Pages : 838 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases. Research Track by : Nuria Oliver

Download or read book Machine Learning and Knowledge Discovery in Databases. Research Track written by Nuria Oliver and published by Springer Nature. This book was released on 2021-09-09 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Applications of Machine intelligence in Engineering

Author : Jyotsna Kumar Mandal
Publisher : CRC Press
ISBN 13 : 1000645835
Total Pages : 1033 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Applications of Machine intelligence in Engineering by : Jyotsna Kumar Mandal

Download or read book Applications of Machine intelligence in Engineering written by Jyotsna Kumar Mandal and published by CRC Press. This book was released on 2022-04-21 with total page 1033 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Global Conference on Artificial Intelligence and Applications (GCAIA 2021) provides a prominent venue for researchers, engineers, entrepreneurs, and scholar students to share their research ideas in the area of AI. Academic researchers would reveal the results and conclusions of laboratory based investigations via the GCAIA 21 platform, which bridges the gap between academia, industry, and government ethics. The GCAIA 21 platform will also bring together regional and worldwide issues to explore current advancements in contemporary Computation Intelligence. This Conference Proceedings volume contains the written versions of most of the contributions presented during the conference of GCAIA 2021. The conference has provided an excellent chance for researchers from diverse locations to present and debate their work in the field of artificial intelligence and its applications. It includes a selection of 62 papers. All accepted papers were subjected to strict peer-review by 2–4 expert referees. The papers have been selected for this volume because of their quality and their relevance to the theme of the conference.

Advances in Distributed Computing and Machine Learning

Author : Asis Kumar Tripathy
Publisher : Springer Nature
ISBN 13 : 981154218X
Total Pages : 525 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Distributed Computing and Machine Learning by : Asis Kumar Tripathy

Download or read book Advances in Distributed Computing and Machine Learning written by Asis Kumar Tripathy and published by Springer Nature. This book was released on 2020-06-11 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.

The Shareholders' and Directors' Manual Containing a Compendium of the Laws Relating to Joint Stock Companies

Author : James D. Warde
Publisher : Canada Railway News Company
ISBN 13 :
Total Pages : 572 pages
Book Rating : 4.3/5 (243 download)

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Book Synopsis The Shareholders' and Directors' Manual Containing a Compendium of the Laws Relating to Joint Stock Companies by : James D. Warde

Download or read book The Shareholders' and Directors' Manual Containing a Compendium of the Laws Relating to Joint Stock Companies written by James D. Warde and published by Canada Railway News Company. This book was released on 1900 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of International Conference on Trends in Computational and Cognitive Engineering

Author : M. Shamim Kaiser
Publisher : Springer Nature
ISBN 13 : 9813346736
Total Pages : 701 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Proceedings of International Conference on Trends in Computational and Cognitive Engineering by : M. Shamim Kaiser

Download or read book Proceedings of International Conference on Trends in Computational and Cognitive Engineering written by M. Shamim Kaiser and published by Springer Nature. This book was released on 2020-12-16 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce, and industry. It is a collection of selected conference papers presented at the International Conference on Trends in Computational and Cognitive Engineering (TCCE 2020). It shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.

Handbook of Research on Cyber Crime and Information Privacy

Author : Cruz-Cunha, Maria Manuela
Publisher : IGI Global
ISBN 13 : 1799857298
Total Pages : 753 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Cyber Crime and Information Privacy by : Cruz-Cunha, Maria Manuela

Download or read book Handbook of Research on Cyber Crime and Information Privacy written by Cruz-Cunha, Maria Manuela and published by IGI Global. This book was released on 2020-08-21 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, industries have transitioned into the digital realm, as companies and organizations are adopting certain forms of technology to assist in information storage and efficient methods of production. This dependence has significantly increased the risk of cyber crime and breaches in data security. Fortunately, research in the area of cyber security and information protection is flourishing; however, it is the responsibility of industry professionals to keep pace with the current trends within this field. The Handbook of Research on Cyber Crime and Information Privacy is a collection of innovative research on the modern methods of crime and misconduct within cyber space. It presents novel solutions to securing and preserving digital information through practical examples and case studies. While highlighting topics including virus detection, surveillance technology, and social networks, this book is ideally designed for cybersecurity professionals, researchers, developers, practitioners, programmers, computer scientists, academicians, security analysts, educators, and students seeking up-to-date research on advanced approaches and developments in cyber security and information protection.